Title :
Application for Economy PID Arithmetic Based on Wavelet Neural Network
Author_Institution :
Sch. of Electron. & Inf. Eng., Southwest Univ., Chongqing, China
Abstract :
The wavelet neural network has already been widely applied to the fields of signal processing and industrial detection etc. Proportion-integration-differentiation(PID) arithmetic is very common in industrial control. it can greatly improve the efficiency of economy if they are integrated. the PID control arithmetic based on the wavelet neural network is proposed to apply to the economy air condition. the software and hardware of system is implemented by TMS320F2812. Compared with the traditional schemas, it proves to be optimized, high in stability and efficiency.
Keywords :
air conditioning; arithmetic; energy conservation; neurocontrollers; stability; three-term control; wavelet transforms; TMS320F2812; economy PID arithmetic; economy air condition; industrial control; industrial detection; proportion-integration-differentiation; signal processing; wavelet neural network; Artificial neural networks; Atmospheric modeling; Debugging; Digital signal processing; Hardware; Presses; Software;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5600882
